by Angela Guess

According to a new press release, “Orange Silicon Valley, a Silicon Valley Business Innovation Center for global telecom operator Orange, and CocoLink Corp, a spinoff of Seoul National University, have built a functional prototype of one of the world’s highest density Deep Learning Supercomputer in a box using CoCoLink’s KLIMAX 210, a server designed for Exascale. They were able to load 20 Functional GPUs in a single 4 Rack Unit Sized server. With 20 NVIDIA K40 GPUs set at overclock (GPU boost 2) mode, the system is capable of delivering a screaming 100 TeraFLOPS in a single box with 57,600 cores. With specially engineered high performance heat sinks, this pushes the limit of computational density in any server without resorting to liquid cooling.”

The release goes on, “The A.I. researchers of Orange in France were also able to use Caffe, the popular deep learning framework to test the system for scalability. They were able to scale the training job to 16 GPUs. This endeavor is continuing with various partners to adapt the framework to its full potential to exploit all the 20 GPUs in the system. The next step would be to scale to a cluster. The team (Orange Silicon Valley and CoCoLink Korea) has also upgraded the system with the latest commercially available NVIDIA GPUs — GeForce GTX 1080 based on Pascal architecture. They were the first to validate a GTX 1080 for Deep Learning and identified that these consumer grade GPUs capable of achieving the same task of running GoogleNet on Caffe with 3.5 times faster speed in reaching a certain level of accuracy of image recognition during training than the NVIDIA Tesla K40 enterprise grade GPUs, which were unveiled in 2014.”

Read more at Marketwired.

Photo credit: Orange Silicon Valley